Doctoral students in Data-Driven Product Realization

Descrizione

Doctoral students in Data-Driven Product Realization Sintesi in italiano (traduzione automatica): L'organizzazione cerca dottorandi per un progetto di ricerca innovativo sulla realizzazione di prodotti basati sui dati presso il Dipartimento di Ingegneria Meccanica della Chalmers University of Technology. Il ruolo prevede la partecipazione a ricerche che collegano ingegneria, simulazione, intelligenza artificiale e digitalizzazione industriale. I candidati devono possedere una laurea magistrale in ingegneria meccanica, ingegneria della produzione, automazione, ingegneria dei sistemi, informatica o campi affini. È richiesta una buona conoscenza della lingua inglese e capacità di lavorare in team multidisciplinari. Le posizioni possono essere ospitate anche nel Dipartimento di Ingegneria Elettrica, a seconda del profilo del candidato e della direzione della ricerca scelta. Join us for an exciting and excellent Doctoral student journey to create the future of Data-driven Product Realization! About us At the Department of Mechanical Engineering , we unite the power of technology, people, and society to drive the transition toward a sustainable future. Through research, education, and collaboration, we create solutions that connect materials to mobility, ideas to impact – shaping a resilient and sustainable world. We make impact. The Division of Product Development conducts research and education across the entire product development lifecycle, from early concepts to industrialization. Together with industry, we develop methods and tools that enable robust, sustainable products while improving design decisions, reducing risk, and ensuring product quality. The position may also be hosted within the Division of Systems and Control at the Department of Electrical Engineering , depending on the candidate’s profile and selected research direction. About the research project DRIVE PR – Data-Driven Product Realisation is a major research and innovation initiative at Chalmers University of Technology and the Wingquist Laboratory, carried out in close collaboration with leading Swedish industrial partners. The advertised position will mainly be connected to DRIVE PR, but may also be linked to related projects within data-driven product realisation, digital engineering, systems engineering, geometry assurance, automation, or model-based development. For Model-Based Systems Engineering we look for a candidate to related SIJET project, focusing whole engine modeling together with GKN. The research aims to transform industrial product realisation from data-enabled practices into truly data-driven ways of working, where engineering design, simulation, AI, digital twins, manufacturing systems, communication infrastructure and decision support are connected to real industrial challenges and using the rapidly advancing digital infrastructure and AI technologies. The positions will be hosted mainly in one of three Chalmers research environments: Geometry Assurance & Robust Design, Systems Engineering Design, or Automation. The exact placement will depend on the candidate’s profile and selected DRIVE PR research track. Together, these environments cover geometry assurance, robust design, systems engineering, product development methods, automation, autonomous systems and industrial digitalisation. Links: Geometry Assurance & Robust Design: https://www.chalmers.se/en/departments/me/research/product-development/geometry-assurance-robust-design/ Systems Engineering Design: https://www.chalmers.se/en/departments/me/research/product-development/systems-engineering-design/ Automation: https://www.chalmers.se/en/departments/e2/research/systems-and-control/automation/ Who we are looking for The following requirements are mandatory: To qualify as a Doctoral student, you must have a Master's degree (masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits* in in mechanical engineering, production engineering, automation, systems engineering, computer science, applied AI, data science, applied mathematics, industrial digitalisation, engineering simulation, optimisation, or another relevant field. Strong written and verbal communication skills in English A strong interest in both scientific research and industrial application. Ability to collaborate across disciplines and work in close interaction with industrial partners. Analytical ability, curiosity, independence and motivation to contribute to long-term research challenges. *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. The following experience will strengthen your application: modelling and simulation CAD/CAE, tolerancing, geometry assurance or production systems AI, machine learning, data analytics or synthetic data digital twins, digital threads or model-based systems engineering automation, contro Annuncio in inglese. Fonte: Euraxess (Commissione europea).